

Chief Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Chief Data Scientist in New York City, offering a competitive pay rate for a 12-month contract. Requires an advanced degree and 5+ years of applied data science experience, with strong skills in Python, R, and SQL.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 24, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
New York City Metropolitan Area
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π§ - Skills detailed
#SQL (Structured Query Language) #Datasets #Scala #Data Pipeline #"ETL (Extract #Transform #Load)" #Leadership #AI (Artificial Intelligence) #Python #R #ML (Machine Learning) #Strategy #Data Science #Cloud #Statistics
Role description
πΌ Job Title: Chief Data Scientist
π° Industry: Fintech
π Location: New York City
π We are partnering with a growing data insights platform to appoint a Chief Data Scientist. This is a leadership role for an applied data science and econometrics expert who can bridge advanced academic credentials with hands-on, practical experience. You will lead the data science function, oversee the development of scalable data solutions, and shape strategy around econometrics, AI/ML, and emerging agentic AI applications.
π§Ύ Responsibilities:
β’ Apply econometrics, statistics, and machine learning to extract actionable insights from complex datasets
β’ Build and deploy production-level data science solutions that support business and client delivery
β’ Partner with engineering and product teams to design end-to-end data pipelines and scalable solutions
β’ Interpret and communicate model outputs and insights to both technical and non-technical stakeholders
β’ Contribute to innovation around advanced AI/ML, including LLMs and agentic AI
π§Ύ What Weβre Looking For:
β’ Advanced degree (Masterβs or PhD) in Statistics, Econometrics, Economics, Data Science, or a related quantitative discipline
β’ 5+ years of applied experience in data science and econometrics (not purely academic research)
β’ Proven experience building and deploying data-driven products and models into production
β’ Strong technical background with Python, R, SQL, and familiarity with modern cloud/data environments
β’ Knowledge of fraud detection, financial data, or econometric modeling is advantageous
πΌ Job Title: Chief Data Scientist
π° Industry: Fintech
π Location: New York City
π We are partnering with a growing data insights platform to appoint a Chief Data Scientist. This is a leadership role for an applied data science and econometrics expert who can bridge advanced academic credentials with hands-on, practical experience. You will lead the data science function, oversee the development of scalable data solutions, and shape strategy around econometrics, AI/ML, and emerging agentic AI applications.
π§Ύ Responsibilities:
β’ Apply econometrics, statistics, and machine learning to extract actionable insights from complex datasets
β’ Build and deploy production-level data science solutions that support business and client delivery
β’ Partner with engineering and product teams to design end-to-end data pipelines and scalable solutions
β’ Interpret and communicate model outputs and insights to both technical and non-technical stakeholders
β’ Contribute to innovation around advanced AI/ML, including LLMs and agentic AI
π§Ύ What Weβre Looking For:
β’ Advanced degree (Masterβs or PhD) in Statistics, Econometrics, Economics, Data Science, or a related quantitative discipline
β’ 5+ years of applied experience in data science and econometrics (not purely academic research)
β’ Proven experience building and deploying data-driven products and models into production
β’ Strong technical background with Python, R, SQL, and familiarity with modern cloud/data environments
β’ Knowledge of fraud detection, financial data, or econometric modeling is advantageous